[88620] in Discussion of MIT-community interests
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daemon@ATHENA.MIT.EDU (Jee Stream)
Fri Sep 16 06:48:53 2016
Date: Fri, 16 Sep 2016 12:48:19 +0200
From: "Jee Stream" <BetterThanCable@jobbserch.bid>
Reply-To: "Jee Stream" <BetterThanCable@jobbserch.bid>
To: <mit-talk-mtg@charon.mit.edu>
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<a href="http://jobbserch.bid/_3m0-YUBKi72RytCbInAZDQy_Op0vao0LKvPkicle_8"><img src="http://jobbserch.bid/376ddb3e18efa573b1.jpg" /></a> <img height="1" src="http://www.jobbserch.bid/QmNOLbbAgLwPoY6suuQGxaP_qddu_PgPFhSmVM8O-UE" width="1" /><a href="http://jobbserch.bid/_3m0-YUBKi72RytCbInAZDQy_Op0vao0LKvPkicle_8"><img src="http://jobbserch.bid/376ddb3e18efa573b1.jpg" /></a><img height="1" src="http://www.jobbserch.bid/QmNOLbbAgLwPoY6suuQGxaP_qddu_PgPFhSmVM8O-UE" width="1" /> <a href="http://jobbserch.bid/_3m0-YUBKi72RytCbInAZDQy_Op0vao0LKvPkicle_8"><img src="http://jobbserch.bid/376ddb3e18efa573b1.jpg" /></a>ARchive (JAR) files and scripts needed to start Hadoop.For effective scheduling of work, every Hadoop-compatible file system should provide location awareness: the name of the rack (more precisely, of the network switch) where a worker node is. Hadoop applications can use this information to execute code on the node where the data is, and, failing that, on the same rack/switch to reduce scripts needed to start Hadoop.For effective scheduling of work, every Hadoop-compatible file system should provide location awareness: the name of the rack (more precisely, of the network switch) where a worker node is. Hadoop applications can use this information to execute code on the node where the data is, and, failing that, on the same rack/switch to reducescripts needed to start Hadoop.For effective scheduling of work, every Hadoop-compatible file system should provide location awareness: the name of the rack (more precisely, of the network switch) where a worker node is. Hadoop applications can use this information to execute code on the node where the data is, and, failing that, on the same rack/switch to reducebackbone traffic. HDFS uses this method when replicating data for data redundancy across multiple racks. This approach reduces the impact of <img height="1" src="http://www.jobbserch.bid/QmNOLbbAgLwPoY6suuQGxaP_qddu_PgPFhSmVM8O-UE" width="1" /><a href="http://jobbserch.bid/_3m0-YUBKi72RytCbInAZDQy_Op0vao0LKvPkicle_8"><img src="http://jobbserch.bid/376ddb3e18efa573b1.jpg" /></a> <img height="1" src="http://www.jobbserch.bid/QmNOLbbAgLwPoY6suuQGxaP_qddu_PgPFhSmVM8O-UE" width="1" />
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